Relevant bibliographies by topics / Dynamic spatial model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Dynamic spatial model'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Dynamic spatial model"

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Ault, Jerald S., Jiangang Luo, Steven G. Smith, et al. "A spatial dynamic multistock production model." Canadian Journal of Fisheries and Aquatic Sciences 56, S1 (1999): 4–25. http://dx.doi.org/10.1139/f99-216.

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We developed a generalized spatial dynamic age-structured multistock production model by linking bioenergetic principles of physiology, population ecology, and community trophodynamics to a two-dimensional finite-element hydrodynamic circulation model. Animal movement is based on a search of an environmental-habitat feature vector that maximizes cohort production dynamics. We implemented a numerical version of the model and used scientific data visualization to display real-time results. As a proxy for larger regional-scale dynamics, we applied the model to study the space-time behavior of rec
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Sun, Yan, Hongjia Yan, Wenyang Zhang, and Zudi Lu. "A semiparametric spatial dynamic model." Annals of Statistics 42, no. 2 (2014): 700–727. http://dx.doi.org/10.1214/13-aos1201.

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Liu, Zhuo, David K. H. Chua, and Hwee Wee Keng. "A Simulation Model for Spatial Scheduling of Dynamic Block Assembly in Shipbuilding." Journal of Engineering, Project, and Production Management 1, no. 1 (2011): 3–12. http://dx.doi.org/10.32738/jeppm.201107.0002.

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BAUDAINS, P., H. M. FRY, T. P. DAVIES, A. G. WILSON, and S. R. BISHOP. "A dynamic spatial model of conflict escalation." European Journal of Applied Mathematics 27, no. 3 (2015): 530–53. http://dx.doi.org/10.1017/s0956792515000558.

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In both historical and modern conflicts, space plays a critical role in how interactions occur over time. Despite its importance, the spatial distribution of adversaries has often been neglected in mathematical models of conflict. In this paper, we propose an entropy-maximising spatial interaction method for disaggregating the impact of space, employing a general notion of ‘threat’ between two adversaries. This approach addresses a number of limitations that are associated with partial differential equation approaches to spatial disaggregation. We use this method to spatially disaggregate the
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Berman, Edward B. "A SPATIAL AND DYNAMIC GROWTH MODEL." Papers in Regional Science 5, no. 1 (2005): 143–50. http://dx.doi.org/10.1111/j.1435-5597.1959.tb01673.x.

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Yu, Jihai, and Lung-fei Lee. "ESTIMATION OF UNIT ROOT SPATIAL DYNAMIC PANEL DATA MODELS." Econometric Theory 26, no. 5 (2010): 1332–62. http://dx.doi.org/10.1017/s0266466609990600.

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This paper examines the asymptotics of the QMLE for unit root dynamic panel data models with spatial effect and fixed effects. We consider a unit root dynamic panel data model with spatially correlated disturbances and a unit root spatial dynamic panel data model. For both models the estimate of the dynamic coefficient is $\root \of {nT^3 }$ consistent and the estimates of other parameters are $\root \of {nT}$ consistent, and all of them are asymptotically normal. For the latter model the sum of the contemporaneous spatial effect and dynamic spatial effect converges at $\root \of {nT^3 }$ rate
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Nijkamp, P., and A. Reggiani. "Dynamic Spatial Interaction Models: New Directions." Environment and Planning A: Economy and Space 20, no. 11 (1988): 1449–60. http://dx.doi.org/10.1068/a201449.

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Spatial interaction models have received a great deal of attention in the past decade. In recent years, various approaches have also been developed to take into account dynamic aspects of spatial interaction models, by means of, for instance, optimal control theory, bifurcation theory, or catastrophe theory. The present paper deals with new directions in dynamic spatial interaction research. The focus is on a general dynamic interaction model analyzed in the framework of optimal control theory. The objective function used is a bicriterion utility model, to be maximized subject to a set of diff
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May, Felix, Andreas Huth, and Thorsten Wiegand. "Moving beyond abundance distributions: neutral theory and spatial patterns in a tropical forest." Proceedings of the Royal Society B: Biological Sciences 282, no. 1802 (2015): 20141657. http://dx.doi.org/10.1098/rspb.2014.1657.

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Assessing the relative importance of different processes that determine the spatial distribution of species and the dynamics in highly diverse plant communities remains a challenging question in ecology. Previous modelling approaches often focused on single aggregated forest diversity patterns that convey limited information on the underlying dynamic processes. Here, we use recent advances in inference for stochastic simulation models to evaluate the ability of a spatially explicit and spatially continuous neutral model to quantitatively predict six spatial and non-spatial patterns observed at
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Allevi, Elisabetta, Adriana Gnudi, and Igor V. Konnov. "Dynamic Equilibrium Model for Spatial Auction Markets*." IFAC Proceedings Volumes 42, no. 2 (2009): 238–41. http://dx.doi.org/10.3182/20090506-3-sf-4003.00044.

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Wang, Xiaokun (Cara), and Kara M. Kockelman. "Application of Dynamic Spatial Ordered Probit Model." Transportation Research Record: Journal of the Transportation Research Board 2136, no. 1 (2009): 45–56. http://dx.doi.org/10.3141/2136-06.

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Dissertations / Theses on the topic "Dynamic spatial model"

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Li, Xintong. "Modeling for Spatial and Spatio-Temporal Data with Applications." Diss., Kansas State University, 2018. http://hdl.handle.net/2097/38749.

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Doctor of Philosophy<br>Department of Statistics<br>Juan Du<br>It is common to assume the spatial or spatio-temporal data are realizations of underlying random elds or stochastic processes. E ective approaches to modelling of the underlying autocorrelation structure of the same random eld and the association among multiple processes are of great demand in many areas including atmospheric sciences, meteorology and agriculture. To this end, this dissertation studies methods and application of the spatial modeling of large-scale dependence structure and spatio-temporal regression modelling
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Beretta, Robert K. (Robert Kneeland). "A geometrically exact dynamic model for spatial elastic rods." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/38117.

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Maretto, Raian Vargas. "Dynamic neighborhoods: a conceptual model and its implementation for spatial dynamics in geographic modeling." Instituto Nacional de Pesquisas Espaciais, 2011. http://urlib.net/sid.inpe.br/mtc-m19/2012/02.13.16.37.

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A configuração de estruturas de vizinhança exerce uma influência direta nos resultados gerados por modelos baseados em Autômatos Celulares. No mundo real, relações espaciais entre objetos não são estáticas, elas mudam ao longo do tempo. Um modelo dinâmico que objetive reproduzir padrões do mundo real deve refletir estas dinâmicas. Este trabalho propõe uma definição conceitual, através de um formalismo algébrico, de um conjunto de operações que permitem que ambientes computacionais destinados a modelagem dinâmica espacialmente explícita possam incorporar mecanismos para tratar vizinhanças que s
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Yu, Jihai. "Essays on spatial dynamic panel data model theories and applications /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1179767430.

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Kompil, Mert Çelik H. Murat. "Modeling retail structural change of İzmir using a dynamic spatial interaction model/." [s.l.]: [s.n.], 2004. http://library.iyte.edu.tr/tezler/master/sehirplanlama/T000469.rar.

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Kearney, Michael J. (Michael Joseph). "Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65504.

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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 64-67).<br>The United States government is committed to promoting a market for electric vehicles. To ensure that this electrification program does not result in the same failure that has come be associated with its predecessor programs, Freedom Car and the Partnership for a New Generation of Vehicles, charging infrastructure must be available. At this point, however,
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Wu, Mingqing Belinda. "A hybrid microsimulation model for a UK city population with dynamic, spatial and agent based features." Thesis, University of Leeds, 2012. http://etheses.whiterose.ac.uk/3758/.

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This research aims to study and understand a complex social system through the development of an individual based hybrid model of the population of Leeds, UK. It attempts to demonstrate the importance of individual based modelling and simulation tools within the scope of demographic planning, as well as in application of a variety of substantive research and planning environments. The model adopts a hybrid modelling approach that combines the strength of two individual based modelling approaches: the first employs a dynamic spatial Micro-Simulation Model (MSM) and the second uses an Agent Base
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Supple, Derek R. (Derek Richard). "Managing the transition toward self-sustaining alternative fuel vehicle markets : policy analysis using a dynamic behavioral spatial model." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40297.

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Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2007.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 68-75).<br>Designing public policy or industry strategy to bolster the transition to alternative fuel vehicles (AFVs) is a formidable challenge as demonstrated by historical failed attempts. The transition to new fuels occurs within a dynamically complex system with many distributed ac
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Chang, Biao. "Spatial analysis of sea level rise associated with climate change." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49062.

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Sea level rise (SLR) is one of the most damaging impacts associated with climate change. The objective of this study is to develop a comprehensive framework to identify the spatial patterns of sea level in the historical records, project regional mean sea levels in the future, and assess the corresponding impacts on the coastal communities. The first part of the study suggests a spatial pattern recognition methodology to characterize the spatial variations of sea level and to investigate the sea level footprints of climatic signals. A technique based on artificial neural network is proposed to
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Molin, Paulo Guilherme. "Dynamic modeling of native vegetation in the Piracicaba River basin and its effects on ecosystem services." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/11/11150/tde-06012015-111535/.

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Studies from the Forestry Institute of São Paulo State have shown that in the end of the 20th century, the native forest cover of the state of SP reached the maximum level of forest loss. From that point on, a period of forest increase and expansion started. Industrialization, law enforcement, economic benefits, and social pressure experienced in recent years are believed to be contributing to the preservation and regrowth of the native vegetation cover in certain locations. This study proposed to model the dynamics of native vegetation cover in the Piracicaba River basin (12,500 km²) in the s
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Books on the topic "Dynamic spatial model"

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Krugman, Paul R. A dynamic spatial model. National Bureau of Economic Research, 1992.

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Knapp, Keith. A dynamic spatial equilibrium model of the California alfalfa market. Giannini Foundation of Agricultural Economics, University of California, 1990.

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Karssenberg, Derek. Building dynamic spatial environmental models. Koninklijk Nederlands Aardrijkskundig Genootschap, 2002.

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Nijkamp, Peter. Dynamics of generalised spatial interaction models. Vrije Universiteit, Faculteit det Economische Wetenschappen, 1986.

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Nijkamp, Peter. Dynamics of generalised spatial interaction models. Victoria University of Wellington, Department of Economics, 1985.

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Sikdar, P. K. Spatial interaction models in hybrid-dynamic framework. UWIST. Department of Town Planning, 1986.

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Michael, Sonis, ed. Chaos and socio-spatial dynamics. Springer-Verlag, 1990.

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Westervelt, James D., and Gordon L. Cohen, eds. Ecologist-Developed Spatially-Explicit Dynamic Landscape Models. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1257-1.

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Hamermesh, Daniel S. Spatial and temporal aggregation in the dynamics of labor demand. National Bureau of Economic Research, 1992.

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Nijkamp, Peter. Spatial interaction and input-output models: A dynamic stochastic multi-objective framework. Vrije Universiteit, Faculteit der Economische Wetenschappen en Econometrie, 1987.

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Book chapters on the topic "Dynamic spatial model"

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Ruth, Matthias, and Bruce Hannon. "Spatial Fishery Model." In Modeling Dynamic Economic Systems. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2209-9_28.

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Ruth, Matthias, and Bruce Hannon. "Spatial Fishery Model." In Modeling Dynamic Economic Systems. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-2268-2_28.

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Ruth, Matthias. "Spatial Fisheries Model." In Dynamic Modeling for Marine Conservation. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0057-1_6.

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Sapaty, Peter Simon. "Spatial Grasp Model." In Managing Distributed Dynamic Systems with Spatial Grasp Technology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50461-2_3.

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Donaghy, Kieran P. "Generalized Stability Analysis of a Non-Linear Dynamic Model." In Advances in Spatial Science. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59787-9_12.

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Barker, Terry, Bernie Fingleton, K. Homenidou, and R. Lewney. "The Regional Cambridge Multisectoral Dynamic Model of the UK Economy." In Advances in Spatial Science. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04625-8_5.

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Colombo, Luca, and Herbert Dawid. "A Dynamic Model of Firms’ Strategic Location Choice." In The Economy as a Complex Spatial System. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65627-4_9.

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Kobayashi, Kiyoshi, and Åke E. Andersson. "A Dynamic Input-Output Model with Endogenous Technical Change." In Advances in Spatial and Network Economics. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78898-7_15.

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Li, Lutong, Mengmeng Chang, Zhiming Ding, Zunhao Liu, and Nannan Jia. "A Dynamic Traffic Community Prediction Model Based on Hierarchical Graph Attention Network." In Spatial Data and Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85462-1_2.

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Wu, Belinda, and Mark Birkin. "Moses: A Dynamic Spatial Microsimulation Model for Demographic Planning." In Spatial Microsimulation: A Reference Guide for Users. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4623-7_11.

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Conference papers on the topic "Dynamic spatial model"

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Wu, Huisheng, Zhaoli Liu, and Shuwen Zhang. "Spatial-Temporal Dynamic Segmentation Model." In Tenth International Conference of Chinese Transportation Professionals (ICCTP). American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41127(382)184.

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Wu, Belinda, Mark Birkin, and Phil Rees. "A dynamic spatial model for demographic planning." In 2011 19th International Conference on Geoinformatics. IEEE, 2011. http://dx.doi.org/10.1109/geoinformatics.2011.5980757.

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Jeong, Jinho, Soo Jeon, and Jongeun Choi. "Learning Hyperparameters in Efficient Spatial Model by Robotic Sensors." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9170.

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Abstract Recently, a new class of spatial models over a continuum domain that builds on hidden Gaussian Markov Random Fields (GMRFs) was proposed for resource-constrained networked mobile robots dealing with non-stationary physical processes. The hidden GMRF was realized with respect to a proximity graph over a surveillance region. In this paper, we investigate learning strategies based on the maximum likelihood (ML) and the maximum a posteriori (MAP) estimators to find the locational generating points for the spatial model so that mobile robots can efficiently make the prediction. Some promis
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Zhang, Fengli, Junxin Chen, Hongchuan Zhou, and Zhengwei Geng. "A Dynamic Access Control Model for Spatial Data." In 2016 12th International Conference on Computational Intelligence and Security (CIS). IEEE, 2016. http://dx.doi.org/10.1109/cis.2016.0133.

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Bakare, Anna, Serge Guillas, Jeremy Morley, and Richard Simons. "107. A TWO-DIMENSIONAL SPATIAL STATISTICAL MODEL FOR MORPHODYNAMIC SEABED MODELLING AND PREDICTION." In Coastal Dynamics 2009 - Impacts of Human Activities on Dynamic Coastal Processes. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814282475_0107.

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Fitriani, Rahma, Eni Sumarminingsih, and Suci Astutik. "The dynamic and indirect spatial effects of neighborhood conditions on land value, spatial panel dynamic econometrics model." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982868.

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Godage, Isuru S., Raul Wirz, Ian D. Walker, and Robert J. Webster. "Efficient Spatial Dynamics for Continuum Arms." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9932.

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Continuum robot dynamic models have previously involved a choice between high accuracy, numerically intensive models, and low accuracy, computationally efficient models. The objective of this paper is to provide an accurate dynamic model with low computational overhead. Our approach is to place point masses at the center of gravity of the continuum section, rather than along the robot’s backbone or centerline. This enables the model to match the robot’s energetic characteristics with many fewer point masses. We experimentally validate the model using a pneumatic muscle actuated continuum arm.
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Kulakov, M. P. "2D MODEL FOR SPATIAL-TEMPORAL DYNAMIC OF AGE STRUCTURED POPULATION." In Современные проблемы регионального развития. ИКАРП ДВО РАН – ФГБОУ ВО «ПГУ им. Шолом-Алейхема», 2018. http://dx.doi.org/10.31433/978-5-904121-22-8-2018-253-256.

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Bernal, Andres, and Sergio V. Chapa. "Topology spatial model for dynamic systems in geographic information systems." In 2016 24th International Conference on Geoinformatics. IEEE, 2016. http://dx.doi.org/10.1109/geoinformatics.2016.7578978.

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Mazzamurro, Matteo, Yue Wu, and Weisi Guo. "Dynamic Spatial Cluster Process Model of Geo-Tagged Tweets in London." In 2019 IEEE International Smart Cities Conference (ISC2). IEEE, 2019. http://dx.doi.org/10.1109/isc246665.2019.9071657.

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Reports on the topic "Dynamic spatial model"

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Krugman, Paul. A Dynamic Spatial Model. National Bureau of Economic Research, 1992. http://dx.doi.org/10.3386/w4219.

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Verburg, Peter H., Žiga Malek, Sean P. Goodwin, and Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003625.

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The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model applica
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Ji, Yan, Songyuan Teng, and Robert Townsend. Branch Expansion versus Digital Banking: The Dynamics of Growth and Inequality in a Spatial Equilibrium Model. National Bureau of Economic Research, 2021. http://dx.doi.org/10.3386/w28582.

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Cai, Yongxia, Christopher M. Wade, Justin S. Baker, et al. Implications of alternative land conversion cost specifications on projected afforestation potential in the United States. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0057.1811.

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The Forestry and Agriculture Sector Optimization Model with Greenhouse Gases (FASOMGHG) has historically relied on regional average costs of land conversion to simulate land use change across cropland, pasture, rangeland, and forestry. This assumption limits the accuracy of the land conversion estimates by not recognizing spatial heterogeneity in land quality and conversion costs. Using data from Nielsen et al. (2014), we obtained the afforestation cost per county, then estimated nonparametric regional marginal cost functions for land converting land to forestry. These afforestation costs were
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Pacala, S. A theory of forest dynamics: Spatially explicit models and issues of scale. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6556985.

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Cain, William O., Thomas Stephen Lowry, Suzanne A. Pierce, and Vincent Carroll Tidwell. Merging spatially variant physical process models under an optimized systems dynamics framework. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/934584.

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Mayas, Magda. Creating with timbre. Norges Musikkhøgskole, 2018. http://dx.doi.org/10.22501/nmh-ar.686088.

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Unfolding processes of timbre and memory in improvisational piano performance This exposition is an introduction to my research and practice as a pianist, in which I unfold processes of timbre and memory in improvised music from a performer’s perspective. Timbre is often understood as a purely sonic perceptual phenomenon. However, this is not in accordance with a site-specific improvisational practice with changing spatial circumstances impacting the listening experience, nor does it take into account the agency of the instrument and objects used or the performer’s movements and gestures. In m
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